Y
Yingliang Zhang
Researcher at ShanghaiTech University
Publications - 6
Citations - 281
Yingliang Zhang is an academic researcher from ShanghaiTech University. The author has contributed to research in topics: Rendering (computer graphics) & Computer science. The author has an hindex of 2, co-authored 2 publications receiving 176 citations.
Papers
More filters
Journal ArticleDOI
Single Sample Face Recognition via Learning Deep Supervised Autoencoders
TL;DR: Results demonstrate that the stacked supervised autoencoders-based face representation significantly outperforms the commonly used image representations in single sample per person face recognition, and it achieves higher recognition accuracy compared with other deep learning models, including the deep Lambertian network.
Proceedings ArticleDOI
Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time
Liao Wang,Jiakai Zhang,Xinhang Liu,Fuqiang Zhao,Yanshun Zhang,Yingliang Zhang,Minye Wu,Lan Xu,Jingyi Yu +8 more
TL;DR: This paper presents a novel Fourier PlenOctree (FPO) technique to tackle efficient neural mod-eling and real-time rendering of dynamic scenes captured under the free-view video (FVV) setting and shows that the resulting FPO enables compact memory overload to handle dynamic objects and supports efficient fine-tuning.
Journal ArticleDOI
Human Performance Modeling and Rendering via Neural Animated Mesh
Fuqiang Zhao,Yuheng Jiang,Kaixin Yao,Jiakai Zhang,Liao Wang,Haizhao Dai,Yuhui Zhong,Yingliang Zhang,Minye Wu,Lan Xu,Jingyi Yu +10 more
TL;DR: This paper proposes a hybrid neural tracker to generate animated meshes, which combines explicit non-rigid tracking with implicit dynamic deformation in a self-supervised framework, and introduces a neural surface reconstructor for high-quality surface generation in minutes.
Journal ArticleDOI
Artemis: Articulated Neural Pets with Appearance and Motion synthesis
Haimin Luo,Teng Xu,Yuheng Jiang,Chenglin Zhou,Qiwei Qiu,Yingliang Zhang,Wei Yang,Lan Xu,Jingyi Yu +8 more
TL;DR: The core of ARTEMIS is a neural-generated (NGI) animal engine, which adopts an efficient octree-based representation for animal animation and fur rendering, and introduces an effective opti- mization scheme to reconstruct the skeletal motion of real animals captured by a multi-view RGB and Vicon camera array.
Journal ArticleDOI
Refocusable Gigapixel Panoramas for Immersive VR Experiences
TL;DR: A novel out-of-core rendering technique that supports not only classic panning, tilting, and zooming but also dynamic refocusing for viewing a GPP on HMD, inspired by the network package transmission mechanisms in distributed visualization.